Model Explanation 

Assumptions

Background

This model portrays the patterns in crime and the community development within the youth of Bourke. It demonstrates the affect of community and police can have on a community.  The community is willing to invest into police and a community center to benefit the community. It is trying to reduce the crime rate of the youth due to boredom and their aim is to see the benefits of having a community club. Through the model you are able to see the benefit of an increase of community investment or police or both.

Description of Model

- The model begins of a population of 1000 youth in Bourke.

- 60% of the youth are criminals.

- The convicted youth depends on the conviction rate which is reflective of the police expenditure.

- The conviction rate is at 50% though with police involvement it is increased by 10%.

- 60% of convicted criminals are released without rehabilitation.

- The remainder of convicted criminals that are rehabilitated depends on the amount of community investment.

- 40% of the youth that attend the community club are 60% less likely to end up in rehabilitation.

Adjustable Variables

Community Investment:
- From 0-100
- Effective for community club use and decrease in crime rate

Police:
-From 10-70
-There will always be the use of police in a city, though the police cannot have an uneven ratio to population.

Conviction Rate:
-From 10-70
-There will always be conviction though through the use of police try to be the minimal as possible.

Assumptions

-The population of youth is 1000.

-Only youth are commiting crime.

-There is no increase of individual risk.

-The use of community club will involve youth and decrease their crime rates.

This model mainly describes the situation of juvenile crime in Bourke. 

​Background:

EFFECTS OF POLICING AND COMMUNITY INVESTMENT ON ADOLESCENTS IN BOURKE

BACKGROUND
The model depicts the community of Bourke, analysing the implications of varying community investment and law enforcement expenditure on crime patterns. In particular, it focuses on youth crime. 

The town's initially high crime rates is mostly attributable to its limited activities and remote location. Ultimately, the aim of this model is to show how a manipulation of variables can alter youth crime and other stocks.

ASSUMPTIONS OF THE MODEL

1.    Bourke has a population of 3,000 - 1,200 (40%) which make up the youth population, and the remaining 1,800 (60%) is the adult population. 

2.    Simulation value for community investment is 40%.

3.    Simulation value for police officers is 450. 

4.    The reconviction rate (70%) is assumed to be higher than the conviction rate (60%). This is because we assume that law enforcement will be imposed more strictly to those who have already committed a crime at least once.

5.   The ‘Engaged’ rate is assumed to be 80%. Given the lesser presence of youth (1,200) in comparison to adults (1,800), it is more likely that the youth population will be required to engage in ‘Community Engagement Programs’ such as sporting clubs or trade-skills.

6.    The ‘Improved Youth’ rate is 80%. This is assumed to be high given the nature of the target study. In short, the youth population will be easier to improve, as opposed to if we were analysing adults.

7.    It is assumed that, if convicted, juvenile detention time is six months due to the ‘petty’ nature of youth crimes.

STOCKS

1.    Youth population – percentage of youth residing in Bourke.

2.    Youth crime – number of people out of the youth population who have committed an offence.

3.    Juvenile detention – consequence of committing a crime for youth.

4.    Community engagement program – a government expenditure reform that involves providing support to the disadvantaged.

VARIABLES

1.    Community investment – effectiveness of the community engagement program implemented by government, (initial simulation value 40, or 40%). This has been applied on a linear basis to flows applicable to ‘Community Engagement Programs’.

2.     Police officers – number between 1-1800 out of the adult population who are police officers (initial simulation value 450, or 25%). This value is linked with ‘Law Enforcement’, to which Law Enforcement is applied to Conviction Rates. Law Enforcement is assumed to increase at a decreasing rate due to strong beliefs that there are decreasing marginal benefits in increasing the absolute number of police officers (according to the Law of Diminishing Returns).

HOW TO GET INTERESTING RESULTS

1.     At 50% community investment, disengagement is higher than improved youth throughout the study time period. This is interesting because there is a significantly higher amount of ‘Improved Youth’ (80%) compared to ‘Disengaged’ (20%). For that reason, it is surprising that there are more disengaged than improved adolescents in Bourke. However, at 100% community investment, ‘Improved Youth’ outweighs ‘Disengaged’ adolescents.

2.     At 50% Police capacity (900 Police Officers), the conviction and reconviction rates are higher than adolescents not being convicted. ‘Convicted’ and ‘Not Convicted’ tend to move more closely together, on an absolute basis, compared to ‘Reconvicted’ and ‘Not Reconvicted’.

Olivia Miu (44909209)

Brief Description of this Model

MKT563 – Big Data and Marketing Analytics – Assignment 4 – Jodi Thornton (11743099)

Introduction

Bourke is in North-Western NSW and has a population of 2,634 people.

Approximately 31.5% of the population are Aboriginal or Torres Strait Islander, compared to an average of 2.9% across NSW.

In 2013, the township of Bourke implemented the first pilot program for justice reinvestment, with Aboriginal leadership. The program is known as the Maranguka Justice Reinvestment Project.

Youth development

Reform to youth development and an increase in participation-based programs allowed for an increase in youth involvement within the community. Programs such as the School Holiday program or the 8 to 18-year-old working group helped to contribute towards a positive shift in youth inclusion and reduce alienation such as high school absenteeism, high school non graduate rate and an increase in TAFE/VET enrolments (and subsequent completions).

Police and Legal System

Through a series of initiatives aimed at Adult Empowerment, a decrease in bail breaches saw a 21% reduction YOY, as well as a 23% reduction in domestic violence incidents. The initiatives included the Role of Men working group, Early Childhood and Parenting work group and Aboriginal employment prosperity strategy. There was a 38% reduction in juveniles being charged with a top criminal offence YOY from 2016 to 2017.

Community development

As of 2020, the ABC reported that North-Western NSW children are still at a disadvantage with some of the state’s highest percentages for lack of internet access, with Bourke reporting 30.1% of children still do not have internet access at home.

One of the community (and youth) initiatives implemented was the Birrang Learner Driver Program. The program saw an 83% increase in successful test completions YOY with 2016.

Initial parameters

-       Internet access = 0.625

-       Licence success rate = 0.83

-       High school students = 160

-       High school attendance rate = 0.74

-       TAFE completion rate = 0.84

-       Reoffence rate = 0.695

-       Crime = 239 (arrests by charged rate)

-       Charged = 0.38

-       Breach rate = 0.27

-       Youths = 302

-       Arrests = 91

-       Aboriginal background = 0.60

Variables (sliders)

Internet access

-       Licence success rate

-       High school students

-       High school attendance rate

-       TAFE completion rate

-       Reoffence rate

-       Crime

-       Charged

-       Breach rate

Assumptions

-       Bourke has 31.5% aboriginal population.

-       TAFE enrolments are governed by successful high school graduates.

-       3.3% of juveniles under 18 attend technical and further education

-       There are 160 high school students – 60% have an Aboriginal background

-       The attendance rate for high school students is 74%

-       It would stand to reason that the absentee rate is 100 – 74 = initial value is 26%

-       The simulation has been set to run for 5 years

-       There are 302 youths aged between 10 and 19 years old

-       15-19 year olds make up for 4.6% of the population in Bourke (121).

-       Licences achieved had an 83% increase YOY from 2016 to 2017

-       23% reduction in domestic violence incidents YOY from 2016 to 2017

-       27% reduction in juvenile bail breaches YOY from 2016 to 2017

-       38% reduction in juveniles being charged with a “top 5 offence” (91 arrests)

References

Allam, L. (2018, October 8). Unique community policing sees crime rates plunge in Bourke. The Guardian. https://www.theguardian.com/australia-news/2018/oct/09/unique-community-policing-sees-rates-plunge-in-bourke

Australian Bureau of Statistics. (n.d.). Data by region. Retrieved 6 June 2021, from https://dbr.abs.gov.au/region.html?lyr=lga&rgn=11150

Australian Bureau of Statistics. (2016). 2016 Census QuickStats: Bourke (A). https://quickstats.censusdata.abs.gov.au/census_services/getproduct/census/2016/quickstat/LGA11150?opendocument

KPMG. (2018, November). Maranguka Justice Reinvestment Project. https://www.justreinvest.org.au/impact-of-maranguka-justice-reinvestment/

McCutcheon, J. (2020, August 27). Internet at home not available to 26pc of children living in remote New South Wales. ABC News. https://www.abc.net.au/news/2020-08-28/internet-access-for-students-in-the-bush-unequal-to-city-kids/12601120

This insight illustrates the relationship between the funding of policing and community development initiatives, to reduce crime rates in Bourke, NSW.

Bourke's Justice Reinvestment Options

Bourke consists of a community of 3000 people; 1000 being adults, and 2000 being youth.

This model presents the Youth and Adults from the Bourke and the estimated arrest rates for whether Bourke’s Justice Reinvestment program chooses to increase punishment for crime, or invest in prevention programs to help the community better themselves and avoid trouble. The overall aim is to reduce imprisonment.

Variables such as ‘Arrest rate for Increased Punishment for Youth’ and ‘Arrest rate for Increased Punishment for Adults’ are integrated to show the arrest rates over time when there is an increase in punishment and more policing. Variables such as ‘Arrest rate for Prevention for Youth’ and ‘Arrest rate for Prevention for Adults’ are integrated to show the arrest rates over time when preventative measures have been put in place. All variables are given an estimated rate, though the rate is not fixed and viewers are able to adjust the rates using the appropriate slider bars, as limited information has been provided at this given time in relation to the specified rates.

The slider bars for the youth have been given a range of -2000 to 2000 as the population of youth is 2000 and those are the limits. Same applies to the slider bars specified for the adults, though here the limit is from -1000 to 1000.

By setting parameter settings to a value lower than 0, you will start to see a decline in arrests. By setting the parameter over 0 you will see an increase. 

Stocks have been colour coded to represent their lines shown in the simulated graph. 

​This model describe the relationships between alienation in young people, police intervention and community support in Bourke area.

Youth Alienation in Bourke: a model for it's causes and reform

Youth alienation is operationalised as the rate per 100,000 of Juvenile offences in the town of Bourke. A baseline figure of 126 (per 100,000) is used and is extrapolated from NSW Bureau of Crime Statistics 2016  LGA table:  http://www.bocsar.nsw.gov.au/Pages/bocsar_crime_stats/bocsar_lgaexceltables.aspx

This is a broad model that seeks to demonstrate lowering the Youth alienation index by lowering the Juvenile offending rates in Bourke. This is achieved through the lowering of negative inputs and the increase of positive inputs.

Assumptions in this model are: 

1.) Juvenile = age 10 -19 years 

2.) Domestic Violence offences in the adult population (age 20 years plus), Youth Unemployment Rate and Antisocial Juvenile Gang Activity are the primary negative inputs contributing to increased Juvenile offending rates 

3.) Youth Programs and Services are the primary positive inputs to decreased Juvenile offending rates 

4.) The 4 primary inputs are influenced by variables directly or indirectly in positive inputs (blue lines and writing with plus signs), or negative inputs (red lines and writing with minus signs)

5.) Readers are advised to be aware of the “double negative” values in this model and it’s formulas. Youth Alienation is expressed in a positive number, despite being conceived of as a negative and undesirable social phenomenon. Therefore, the primary negative inputs (Domestic Violence rates, Antisocial Youth Gang activity and Youth Unemployment) are numerically positive in the associated formulas for flow inputs, but graphically presented as negative inputs. Similarly, the primary positive input (Youth Programs and Services) are numerically negative, but graphically positive.

Conclusion:

It is hypothesised that an increase in social capital, combined with the reducing influence of reforming processes elsewhere in the system, will lead over time to a reduction in Youth Alienation in Bourke (indexed by a reduction in the Juvenile Crime rate).

Assumptions

Bourke is a remote town in NSW with a population of 2634 people.  In 2013 crime figures from Bourke showed the highest assault, break-ins and car theft rates in NSW with crime spikes mostly occurring during nights and school holidays.  Over the past five years, the Aboriginal Community has come together to trial a model for change, called Just Reinvest.

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This model is looking at the youth in the town of Bourke, in NSW Australia. It has been designed to look at the impacts that the police force and community engagement can have on the youth in Bourke, specifically in relation to the crime rates within the town and what factors impact on this, including unemployment and drug and alcohol use.

 

Assumptions:

<!--[if !supportLists]-->-       <!--[endif]-->Total youth in Bourke = 25,000

<!--[if !supportLists]-->-       <!--[endif]-->Currently in Jail = 15,500

<!--[if !supportLists]-->-       <!--[endif]-->Currently in rehabilitation = 6,500

<!--[if !supportLists]-->-       <!--[endif]-->Youth who participate in a Community program and complete it = 75%

<!--[if !supportLists]-->-       <!--[endif]-->Youth with antisocial behaviour = 2,000

<!--[if !supportLists]-->-       <!--[endif]-->Youth with drug and alcohol problems = 6,500

<!--[if !supportLists]-->-       <!--[endif]-->Unemployment = 10,000

<!--[if !supportLists]-->-       <!--[endif]-->Youth placed into rehab due to drugs = 1,500

  

The youth in Bourke enter into a community program, and 75% of youth complete the program and return to the total youth. The 25% that do not complete become disengaged and wind up in jail. They complete a rehabilitation program and return to the community after 6 months. Youth with unemployment are impacted by drug and alcohol use and they are either detected by the police and placed into the rehabilitation program, or they are not detected and continue on a cycle of unemployment and drug and alcohol use.

 

The Government funding goes into the community programs and into the jail. The police force impacts on the disengaged youth entering into jail, the youth who become rehabilitated and detecting the drug and alcohol use of the youth.

 

There are two graphs in particular that are called out in this model. They are:

<!--[if !supportLists]-->1)   <!--[endif]-->Youth in Jail and Disengagement

<!--[if !supportLists]-->2)   <!--[endif]-->Youth in the Community Program and Youth Completing the Program

 

When looking at graph number one with the sliders on 100 Police Staff Members and $50,000 Government Funding you can see that the more youth that complete the program, the less youth there are in jail. We can identify that the completion of the program decreases the amount of youth in jail.

 

When these sliders are decreased to their lowest with 5 police staff members and $5,000 of government funding we see that the time it takes for the completion of community programs to be surpass the youth in jail occurs after 11 years as opposed to 7 years in the previous graph.

 

 The second graph identifies when the sliders are at their highest the delay and time it takes to engage the youth in the rehabilitation program vs. the youth in the community program, and that the youth entering into the programs and completing match up to one another. When the sliders are at there lowest the rehabilitation sits much lower at all times and the time taken to increase the amount of youth completing the program is substantially longer.

Overall this model stimulates the importance on not only the police force and government funding, but the two working alongside one another for optimum results for the youth in Bourke. 

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This model displays the effects of youth crime and the influence of community expenditure, social support, and policing in the town of Bourke, NSW.

The traditional lifestyle for youth in this town involves either a chosen path of committing crimes, or, that of community activity and various forms of education.

The model has been designed to mimic a system where community expenditure and support services are adopted in order to inject a positive lifestyle for the youth population. The phenomena studied in this simulation is the balance between policing, community support and social influence versus not using them.

Assumptions
-1000 Youth Population

-Youth are either influenced by criminal activity or by productive educational activities.

- Adoption rate of community activities is influenced by personality, relating to current personal skill level of youth and willingness.

-If youth you do not become involved in community activity or some form of Education, then they turn to the path of crime.

-Punishment facility time is up to 12 months with a 2 year probation period

-Community expenditure and support only begins in the probation period, unless “Juvenile Support” slider is used.

-For the purpose of this study on youth crime and support before a crime is committed, we do not include a possibility of relapse in the rehabilitation phase.

STOCKS

• Youth
  
• Crime – all offences committed by those under 18
  
• Punishment Facility – juvenile detention
  
• Probation – release from punishment
  
• Education system – various programs
  

VARIABLES

Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.

Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.

Social Support Units – The number of social support units available for released offenders during rehabilitation phase.

Community expenditure – the amount of time and money being spent on social services and policing.

Birth rate, crime rate, dicharge rate, recidivism & conviction rate

INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly.  More people turn to law-abiding positive activity.

This will again all change with the manipulation of the Social Support unit slider…..

2/ Social Support Unit impact

Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.

Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.

The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.

3/ Police Unit Impact

Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.

Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.

Conclusions

Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.

Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.

Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.

The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.

<!--EndFragment-->

This model displays the effects of youth crime and the influence of community expenditure, social support, and policing in the town of Bourke, NSW.

The traditional lifestyle for youth in this town involves either a chosen path of committing crimes, or, that of community activity and various forms of education.

The model has been designed to mimic a system where community expenditure and support services are adopted in order to inject a positive lifestyle for the youth population. The phenomena studied in this simulation is the balance between policing, community support and social influence versus not using them.

Assumptions
-1000 Youth Population

-Youth are either influenced by criminal activity or by productive educational activities.

- Adoption rate of community activities is influenced by personality, relating to current personal skill level of youth and willingness.

-If youth you do not become involved in community activity or some form of Education, then they turn to the path of crime.

-Punishment facility time is up to 12 months with a 2 year probation period

-Community expenditure and support only begins in the probation period, unless “Juvenile Support” slider is used.

-For the purpose of this study on youth crime and support before a crime is committed, we do not include a possibility of relapse in the rehabilitation phase.

STOCKS

• Youth
  
• Crime – all offences committed by those under 18
  
• Punishment Facility – juvenile detention
  
• Probation – release from punishment
  
• Education system – various programs
  

VARIABLES

Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.

Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.

Social Support Units – The number of social support units available for released offenders during rehabilitation phase.

Community expenditure – the amount of time and money being spent on social services and policing.

Birth rate, crime rate, dicharge rate, recidivism & conviction rate

INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly.  More people turn to law-abiding positive activity.

This will again all change with the manipulation of the Social Support unit slider…..

2/ Social Support Unit impact

Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.

Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.

The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.

3/ Police Unit Impact

Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.

Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.

Conclusions

Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.

Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.

Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.

The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.

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Yu Mao's questionable and barely functional model on ​Bourke's crime landscape with consideration of community development and police. 

This model displays the effects of youth crime and the influence of community expenditure, social support, and policing in the town of Bourke, NSW.

The traditional lifestyle for youth in this town involves either a chosen path of committing crimes, or, that of community activity and various forms of education.

The model has been designed to mimic a system where community expenditure and support services are adopted in order to inject a positive lifestyle for the youth population. The phenomena studied in this simulation is the balance between policing, community support and social influence versus not using them.

Assumptions
-1000 Youth Population

-Youth are either influenced by criminal activity or by productive educational activities.

- Adoption rate of community activities is influenced by personality, relating to current personal skill level of youth and willingness.

-If youth you do not become involved in community activity or some form of Education, then they turn to the path of crime.

-Punishment facility time is up to 12 months with a 2 year probation period

-Community expenditure and support only begins in the probation period, unless “Juvenile Support” slider is used.

-For the purpose of this study on youth crime and support before a crime is committed, we do not include a possibility of relapse in the rehabilitation phase.

STOCKS

• Youth
  
• Crime – all offences committed by those under 18
  
• Punishment Facility – juvenile detention
  
• Probation – release from punishment
  
• Education system – various programs
  

VARIABLES

Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.

Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.

Social Support Units – The number of social support units available for released offenders during rehabilitation phase.

Community expenditure – the amount of time and money being spent on social services and policing.

Birth rate, crime rate, dicharge rate, recidivism & conviction rate

INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly.  More people turn to law-abiding positive activity.

This will again all change with the manipulation of the Social Support unit slider…..

2/ Social Support Unit impact

Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.

Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.

The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.

3/ Police Unit Impact

Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.

Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.

Conclusions

Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.

Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.

Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.

The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.

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ContextBourke is a remote town located 800km northwest of Sydney, situated on the Darling River. The Maranguka Justice Reinvestment project emerged as Bourke was concerned about the number of Aboriginal families experiencing high levels of social disadvantage and rising crime. Bourke has worked for many years to develop a model for improving outcomes and creating better coordinated support for vulnerable families and children through the true empowerment of the local Aboriginal community. Maranguka, meaning ‘caring for others’ in Ngemba language, is a model of Indigenous self-governance which empowers the community to coordinate the right mix and timing of services through an Aboriginal community owned and led, multi-disciplinary team working in partnership with relevant government and non-government agencies (Impact of Maranguka Justice Reinvestm...)
The Model
This model simulates the effects of community support funding and crime on at risk youth in the town of Bourke. It also shows how key indicators affect the engagement of youth in society. Breaking the cycle of self destruction by providing support at all stages. 

Variables
Bourke Youth- This variable can be adjusted to show the impact of population numbers on the effectiveness of community projects and funding levels.Community Funding- This variable can be adjusted to show the impact of community support programs to create positive behaviour change.Crime Rate – This variable can be adjusted to show the impact on at risk youth.

Conclusion
The model clearly shows that an increase in support services via increased funding will help break the cycle of youth alienation and build better futures.

Bourke has a youth population (under 24 years of age) of 998 (ABS, 2015). These 998 persons begin arbitrarily split between the general population [Bourke Youth], youth in the football club [Football Club], youth engaged in criminal activity [Criminals] and incarcerated youth [Prisoners]